Pharma · Pharma
Currently tracking 10 active AI roles, up 14200% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$358k (avg $179k).
| Title | Stage | AI score |
|---|---|---|
| Director of AI Engineering – Vaccine R&D Operations Enablement Director of AI Engineering role focused on applying AI automation and advanced analytics in regulated healthcare R&D operations. The role involves leading the definition and delivery of AI solutions for lab and office workflows, strengthening operational decision-making through predictive models, enabling regulated AI systems with governance, optimizing development planning, and engineering/scaling production-grade ML platforms. Requires expertise in predictive modeling, optimization, automation, generative AI, and ML system design, with strong programming skills in Python and ML frameworks, and experience scaling models in cloud/HPC environments. Collaboration across scientific, operational, quality, and business teams is critical. | ShipServe | 7 |
| Sr. Director, US Commercial Product Lead, AIA |
| Ship |
| 7 |
| Sr. AI Product Manager Senior AI Product Manager at Pfizer, focused on developing and launching AI/LLM-driven digital products using rapid prototyping and MVP-first approaches. The role emphasizes defining product vision, collaborating with cross-functional teams, managing lean roadmaps, and driving agile ceremonies to accelerate time-to-value in a fast-paced, experimental environment. | Ship | 5 |
| 辉瑞招聘-数字化与技术总监, 首席工程师-上海或北京或大连 This role is for a senior software engineer who will design, build, and maintain software systems, leveraging AI tools to enhance productivity and verifying AI-generated code. The role involves being embedded with business units (Commercial, Manufacturing, R&D) to act as a 'startup CTO', bridging product building and business problem-solving. Responsibilities include driving technical initiatives, developing technical leaders, shaping technology-driven business strategy, designing AI-augmented engineering workflows, establishing reliability and documentation standards, and driving process efficiency. The role emphasizes curiosity, outcome ownership, polymath orientation, precision communication, and systems thinking, with expert-level skills in business immersion, data integration, full-stack development, multi-audience communication, problem discovery, rapid prototyping, stakeholder management, and team collaboration. Practitioner-level skills include AI evaluation and verification. | Ship | 5 |